Thermo Fisher Scientific (TMO) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Thermo Fisher Scientific (TMO) reported Non-Current Debt of $39.11 billion for Q3 2026, up 22.8% from $31.86 billion a year earlier but down 0.2% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2025, Thermo Fisher Scientific posted Non-Current Debt of $35.85 billion, up 23.4% from FY2024.
- Non-Current Debt has a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- By year, Non-Current Debt came in at $29.06 billion in FY2024 (-7.2%), $31.31 billion in FY2023 (+8.3%), $28.91 billion in FY2022 (-10.6%) and $32.33 billion in FY2021 (+69.2%).
- Five-year quarterly Non-Current Debt spans a low of $28.15 billion in Q3 2022 and a high of $40.07 billion in Q1 2026.
- Year over year, Non-Current Debt has now increased in each of the last seven quarters, with growth averaging 12.1% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was Q4 2021 (growth of 69.2%); the low point was Q4 2022 (a decline of 10.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $39.18 billion (Q2 2026), $40.07 billion (Q1 2026) and $35.85 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.21 Bn | 258.21 Bn | - | - |
| 2 | Abbott Laboratories | 184.72 Bn | 184.72 Bn | - | - |
| 3 | Danaher | 163.63 Bn | 147.44 Bn | 3.61 Bn | 6.56 Bn |
| 4 | Intuitive Surgical | 150.86 Bn | 131.14 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.68 Bn | 88.93 Bn | 6.34 Bn | - |
| 6 | Stryker | 111.91 Bn | 111.91 Bn | - | - |
| 7 | Boston Scientific | 61.64 Bn | 61.64 Bn | 3.43 Bn | - |
| 8 | Becton Dickinson | 54.28 Bn | 51.43 Bn | 2.32 Bn | -2.00 Bn |
| 9 | Edwards Lifesciences | 53.21 Bn | 37.22 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 49.54 Bn | 42.43 Bn | 1.04 Bn | 601.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 3.83 Bn |
| Dec 31, 2025 | 4.13 Bn |
| Jun 28, 2025 | -787.00 Mn |
| Mar 29, 2025 | 2.00 Bn |
| Dec 31, 2024 | -2.50 Bn |
| Sep 28, 2024 | -1.11 Bn |
| Jun 29, 2024 | -1.00 Mn |
| Mar 30, 2024 | 1.21 Bn |
| Dec 31, 2023 | -1.31 Bn |
| Sep 30, 2023 | 2.47 Bn |
| Jul 1, 2023 | -1.00 Bn |
| Dec 31, 2022 | 3.19 Bn |
| Apr 2, 2022 | -375.00 Mn |
| Dec 31, 2021 | 6.08 Bn |
| Oct 2, 2021 | 3.12 Bn |
| Apr 3, 2021 | -2.80 Bn |
| Dec 31, 2020 | 2.00 Mn |
| Sep 26, 2020 | -710.00 Mn |
| Jun 27, 2020 | 1.28 Bn |
| Mar 28, 2020 | 2.18 Bn |
API Access
Thermo Fisher Scientific Net Long-Term Debt Issued (Repaid) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-current-debt&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "TMO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();